Automated Process Discovery

Automated Process Discovery is a technology that uses data mining, machine learning, and process analytics to automatically identify, map, and analyze business processes from event logs or system data. It captures how work is actually performed in an organization by extracting process flows, variations, bottlenecks, and inefficiencies without manual intervention. This provides a data-driven foundation for process improvement, automation, and compliance initiatives.

Also known as: Process Mining, Process Discovery, APD, Automated Process Mining, Business Process Discovery

Why learn Automated Process Discovery?

Developers should learn Automated Process Discovery when working on business process management (BPM), robotic process automation (RPA), or digital transformation projects to understand existing workflows before automating or optimizing them. It is crucial for identifying automation opportunities, reducing manual mapping errors, and ensuring that automated solutions align with real-world operations, particularly in industries like finance, healthcare, and manufacturing where process efficiency is critical.

Learning Resources

• course: Celonis Process Mining Academy
• docs: UiPath Process Mining Documentation
• course: Process Mining: Data Science in Action (Coursera)
• tutorial: Introduction to Process Mining by Fluxicon
• docs: Gartner Guide to Process Mining